Intelligent design for regularized wind farms based on genetic algorithm

• Published in: Journal of physics. Conference series Vol. 2835; no. 1; pp. 12027 - 12032
• Main Authors: Li, Zhaoming, Liu, Zhenqing, Liu, Yuliang, Liu, Shujie, Jiang, Wei, Li, Changjie, Jiang, Zhiwei, Gu, Xun, Ma, Xueyun
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2024
• Subjects: Design optimization; Genetic algorithms; Wind effects; Wind power; Wind turbines

Abstract In this paper, two regularized scheduling strategies for the GA algorithm are proposed. The conclusion shows that algorithms play a role in boosting power optimization. The energy output of the wind farm is improved by around 0.2%-0.5%, and the GA algorithm has the best optimization effect...